Bibliographic record
Abstract
As a dramatic form, comedy can exist without laughter, but most of the plays that we consider comedies are engines of laughter, and one of the great pleasures of comic theatre is the feeling of exhilaration and release that laughter provides. Despite much theorizing, the causes of laughter and its significance in human life remain a mystery. The impulse to laugh, for one thing, is deeply equivocal. At times, as when we laugh “with” someone, laughter may be a mechanism by which we identify with another human being, a means of psychological and social bonding. At other times, as when we laugh “at” someone, the same physical reaction may be a form of aggressive self-assertion. The former kind of laughter, in which human and societal divisions are dissolved in communal merriment, we might call, loosely following Bakhtin, carnivalesque. The latter, in which such divisions are perversely reinforced, we might call Hobbesian, after Thomas Hobbes, who defined laughter as an expression of superiority, a feeling of “sudden glory arising from some sudden conception of some eminency in ourselves, by comparison with the infirmity of others.” Both kinds of laughter, curiously, can strengthen certain kinds of social communion: the carnivalesque, by casting wide the net of community, implying that we are all, at some level, one; the Hobbesian, by affirming the superiority of one community in opposition to an individual or group outside it. Romantic and Saturnalian comedy tend towards carnivalesque laughter; satiric comedy, towards Hobbesian.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.007 | 0.008 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.039 | 0.013 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".